AI User Research Platform

AI user research platform for continuous discovery.

Diaform runs AI-moderated interviews with your users — asking the follow-ups a senior researcher would, capturing the "why" behind every answer, and synthesizing themes the moment a session ends. Run jobs-to-be-done interviews, usability sessions, and discovery work without scheduling a single call.

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Trusted by product, research, and insights teams running continuous discovery.

Overview

Moderated research, without the moderator bottleneck

Traditional user research platforms split your work into two painful halves: recruiting participants and running sessions. Diaform collapses the second half into minutes. Share one link and every participant gets a real 1:1 interview — driven by an AI researcher trained on your product context, your research goals, and your exact probing style.

Because it's moderated by AI, you get the data quality of a qualitative interview with the volume of an unmoderated study. Fifty rich sessions by Friday, each one summarized, tagged, and ready to inform the decisions your team has to make next week.

Why user research still bottlenecks product teams

The tools your team has to choose between weren't built for continuous discovery.

01The problem

Moderated interviews don't scale

Even with a dedicated researcher, you're capped at 5–8 sessions a week once you factor in scheduling, no-shows, and note-taking. That's not enough to inform weekly product decisions.

02The problem

Unmoderated surveys stay shallow

Typeform-style studies get you answers like "it was fine" or "idk". Without an intelligent follow-up, you never hear the real story — just the easy one.

03The problem

Synthesis is the real cost

By the time you've transcribed, coded, and clustered thirty interviews, the roadmap has already shipped. Insights that arrive after the decision are noise.

What Diaform gives your research team

An AI user research platform built for continuous, always-on discovery.

Feature · 01

AI moderator with real probing

When a participant writes "the onboarding was confusing," the AI asks which step, what they expected, and what they tried next. Every study runs with a trained moderator inside it.

Feature · 02

Voice or text — on any device

Participants join through a single link in their browser. They can type, or speak naturally with a human-sounding voice that follows up like a real interviewer.

Feature · 03

Auto-synthesis, per session and per study

Every session returns a summary, sentiment, and tagged themes. Across a study you get the clusters, the outliers, and the quotes — the same artifacts a researcher would prepare.

Feature · 04

Context-aware interviews

Upload product briefs, roadmaps, or support docs. The AI answers participant questions mid-interview using your own knowledge — not a generic chatbot response.

Feature · 05

Trigger research at the moment of truth

Drop the link in email, in-app, or a Slack channel for beta users. Because there's no scheduling, you can capture signal while the experience is still fresh.

Feature · 06

30+ languages, native tone

Run global research without translating study guides. The AI mirrors tone, follows up naturally, and summarizes every session in English so your team can still act on it.

A real user research interview, moderated by AI

Watch the AI run an open-ended discovery interview — probing the 'why' behind every answer, just like a trained researcher would.

Orbital Analytics

Interview Questions

Workflow before you started

The breaking point

What would have blocked you

Progress0 / 3

You define the base questions.
Diaform handles follow-ups automatically.

How AI-moderated user research works

A workflow that fits between a planning meeting and a standup — not between two sprints.

1
Brief the AI researcher
Write your research questions, add product context (roadmap, briefs, FAQs), and pick a tone. You're not writing a survey — you're briefing a junior researcher.
2
Share one link
Drop the link in email, in-app, churn flows, or a beta invite. Every participant launches their own 1:1 session in-browser. No account required.
3
The AI runs the interview
It asks follow-ups, adapts to what each person says, enforces your question list, and handles objections. It even responds to participant questions using your uploaded context.
4
Get a synthesis, not transcripts
The moment a session ends, you get a structured summary with themes, sentiment, and the quotes worth showing your team. Across a study, patterns surface automatically.

Studies you can run this week

The same platform covers everything from lightweight pulses to deep discovery work.

Product discovery & JTBD

Understand the job customers are hiring your product to do. The AI probes the trigger, the alternatives considered, and the moment of decision — the anatomy of a JTBD interview, at scale.

Concept and messaging testing

Share a concept, a landing page, or a positioning statement. The AI runs structured reactions with real customers and returns the objections before you ship.

Usability studies

Trigger research at the moment of friction — post-checkout, after a failed task, during onboarding. Catch the UX issues a survey would miss.

Churn and cancel-intent research

When someone cancels, a form says thanks. An AI moderator gets the real reason — and sometimes a saveable objection your CS team can act on.

Customer panel pulses

Keep a 50-customer panel engaged year-round. Fire off a 3-question study any time the team needs directional signal, and get a brief by end of week.

Beta and early-access feedback

Ship a feature flag, send the beta group a link, and get moderated feedback from every user — not just the five who bothered to fill out the survey.

Static research tools vs. AI user research

Most teams are stuck choosing between depth and volume. An AI user research platform doesn't make you choose.

Without Diaform

Static surveys and recruit-and-schedule platforms

Respondents give one-line answers and move on
Moderated sessions cap at a handful per week
Transcripts sit in Notion and never get synthesized
Branching logic can't cover what users actually say
Time-to-insight measured in weeks

With Diaform

Diaform — AI-moderated research

Follow-ups probe the real reason behind every answer
Dozens of rich interviews running in parallel
Every session auto-synthesized with themes and quotes
The AI adapts to unexpected answers — no flowcharts
Time-to-insight measured in days

FAQ

Frequently asked questions

What is AI user research?

AI user research is qualitative research conducted by an AI moderator instead of a human. A trained AI interviews participants 1:1, asks follow-up questions based on their answers, and synthesizes the results. The output is qualitative — themes, quotes, sentiment — at the volume a survey can deliver.

How is Diaform different from platforms like UserInterviews or User Testing?

Those platforms primarily help you recruit participants for human-moderated sessions. Diaform is the moderator — it runs the interviews. You can bring your own participant list (email, in-app, churn flow) or combine it with a recruiting tool. Either way, you skip scheduling, transcription, and synthesis.

Is AI-moderated research as reliable as a human moderator?

For structured research questions with clear goals, AI moderation is highly reliable and often more consistent than a human (no moderator fatigue, no leading questions on session 20). For exploratory research where the researcher needs to react to ambiguous territory in real time, a human is still preferred. Most teams use both — AI for volume and breadth, humans for depth on critical decisions.

What types of user research can I run?

Product discovery, jobs-to-be-done interviews, concept testing, usability research, churn interviews, post-purchase stories, onboarding feedback, messaging testing, pricing research, and pulse studies. Anything that would normally be a structured 1:1 interview can be conducted by the AI.

How do participants join?

Each study gets a single share link. Participants open it in a browser on any device, no account, no download. They can type replies or speak with a human-sounding voice that follows up in real time.

Can I recruit participants too?

Diaform doesn't run a participant panel directly — you bring your audience. Teams typically drop the link in customer email, embed it in-app, share it in beta communities, or combine Diaform with a recruiting tool like UserInterviews.

What does synthesis look like?

Per session you get a written summary, sentiment score, and key themes. Across a study you get clustered themes, the strongest supporting quotes, and a sentiment distribution. You can filter and export — no more manual coding in spreadsheets.

Does it support multi-language research?

Yes. The AI researcher conducts interviews natively in 30+ languages, matching tone and follow-up style. Session summaries are produced in English so your team can synthesize globally without hiring translators.

Explore more

Dive into the other ways Diaform can power your research.

Concept testing

Validate product, creative, and messaging concepts with real customers — with AI-moderated reactions and objections.

Churn surveys

Turn exit surveys into AI-moderated cancel interviews that capture the real reason — and the saveable ones.

AI usability testing

Catch UX friction in the moment with AI-led usability interviews triggered right at the pain point.

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